+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 70B vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 2.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
+
+
+
+
Moonshot AI
Kimi K2 Instruct-0905 represents a specific release iteration of the K2 Instruct model, developed to incorporate refinements and improvements. Built to provide enhanced instruction-following based on deployment feedback, it continues the evolution of Moonshot's instruction-tuned offerings.
7 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
DeepSeek R1 Distill Llama 70B
Average Score:76.0%(+2.0%)
+
+
+
+
Kimi K2-Instruct-0905
Average Score:74.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Kimi K2-Instruct-0905
+
+
+
+
DeepSeek R1 Distill Llama 70B
Avg Score:76.0%(+2.0%)
Providers:1
+
+
+
+
Kimi K2-Instruct-0905
Avg Score:74.0%
Providers:0